Clinical diagnostic value of altered functional connectivity in the central executive network on mild cognitive impairment in patients with end-stage renal disease
10.3760/cma.j.cn371468-20240713-00331
- VernacularTitle:中枢执行网络功能连接改变在终末期肾病患者轻度认知障碍中的临床诊断价值
- Author:
Wenqing LI
1
;
Di WANG
;
Tongqiang LIU
;
Wanchao ZHANG
;
Haifeng SHI
Author Information
1. 南京医科大学附属常州市第二人民医院放射科，常州 213000
- Keywords:
End-stage renal disease;
Mild cognitive impairment;
Resting-state functional magnetic resonance imaging;
Central executive network
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2024;33(11):993-1000
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the clinical diagnostic significance of altered functional connectivity (FC) within the central executive network (CEN) in patients with mild cognitive impairment (MCI) related to end-stage renal disease (ESRD).Methods:A total of 155 patients with ESRD receiving hemodialysis treatment at the department of nephrology, Changzhou Second People's Hospital, from June 2020 to December 2023, were recruited. According to wether the patient had MCI symptoms, 85 patients were classified in the ESRD with MCI group, while 70 patients were in the ESRD without MCI group. Additionally, 76 healthy volunteers matched for age, sex, and years of education were enrolled in the study. All participants underwent resting-state functional magnetic resonance imaging and were evaluated using the Montreal cognitive assessment. With the dorsolateral prefrontal cortex serving the core of CEN, functional attributes of the CEN were calculated using seed-based FC analysis. Based on these imaging features and clinical data, a LASSO + Logistic regression model was constructed to predict MCI in patients with ESRD, and SPSS 20.0 software was used for analysis.Results:There were significant differences in FC in 10 brain regions, including the inferior temporal gyrus, temporal pole, corpus callosum, ventromedial prefrontal cortex, ventral posterior cingulate cortex, inferior parietal lobule, precuneus, dorsomedial prefrontal cortex, dorsal anterior cingulate cortex, and supplementary motor area, among the three groups (all P<0.001). Post hoc analysis revealed that the zFC values of the ventromedial prefrontal cortex and dorsomedial prefrontal cortex in ESRD with MCI group(0.385±0.219, 0.215±0.247) were significantly higher than those in the ESRD without MCI group (0.278±0.184, 0.121±0.221) and the healthy controls (0.206±0.217, 0.078±0.212) (all P<0.05). In addition to the ventromedial prefrontal cortex and dorsomedial prefrontal cortex, zFC values in all brain regions exhibiting significant differences were markedly reduced in both the ESRD with MCI group (temporal pole (0.157±0.221 vs 0.327±0.191), corpus callosum (0.100±0.184 vs 0.327±0.191), ventral posterior cingulate cortex (0.027±0.199 vs 0.128±0.154), inferior parietal lobule (0.218±0.195 vs 0.387±0.213), precuneus (0.193±0.184 vs 0.358±0.142), supplementary motor area (0.182±0.163 vs 0.231±0.163)) and the ESRD without MCI group (inferior temporal gyrus (0.055±0.125 vs 0.250±0.146), temporal pole (0.048±0.223 vs 0.335±0.195), corpus callosum (0.192±0.161 vs 0.327±0.191), inferior parietal lobule (0.234±0.197 vs 0.387±0.213), dorsal anterior cingulate cortex (0.383±0.242 vs 0.585±0.195), supplementary motor area (0.076±0.162 vs 0.231±0.163)), compared to healthy controls ( P<0.01). The zFC values of 4 brain regions in ESRD with MCI group were significantly higher than those in the ESRD without MCI group (inferior temporal gyrus (0.226±0.205 vs 0.055±0.125), temporal pole (0.157±0.221 vs 0.048±0.223), dorsal anterior cingulate cortex (0.498±0.254 vs 0.383±0.242), supplementary motor area (0.182±0.163 vs 0.076±0.162)) ( P<0.05). The diagnostic model developed from these results demonstrated excellent discrimination(the area under the curve=0.94, the sensitivity=0.89, the specificity=0.86, and the accuracy=0.88). Additionally, it exhibited strong calibration ( R2=0.908) and clinical applicability(patients benefited when the predicted probability exceeded 0.12). Conclusion:The enhancement of FC in CEN and its attenuation with other networks provide relevant evidence for the neuropathological mechanisms underlying MCI in patients with ESRD.The diagnostic model based on FC changes in the CEN, as presented in this study, is valuable for detecting early cognitive impairment in patients with ESRD.
